Toshikatsu Hanada

10.8k citations
64 papers · 7.2k indexed · 5 hit papers · h-index 33
Topics
Cytokine Signaling Pathways and Interactions (27 papers)interferon and immune responses (11 papers)RNA modifications and cancer (7 papers)

In The Last Decade

Toshikatsu Hanada

63 papers receiving 7.1k citations

Hit Papers

Function of miR-146a in Controlling Treg Cell-Mediated Re...200220262010201820102003200220032004250500750

Peers

Toshikatsu Hanada
Comparison fields: 5 of 121
  • Immunology 3.6k
  • Oncology 3.0k
  • Molecular Biology 2.2k
  • Cancer Research 1.2k
  • Epidemiology 798
Replace Hideo Yasukawa with:
Hideo Yasukawa Japan
Masato Kubo Japan
Christian Schindler United States
Tracy A. Willson Australia
Iris Behrmann Germany
Fred Schaper Germany
Koichi Nakajima Japan
Lutz Graeve Germany
D Metcalf Australia
Wen‐Chen Yeh Canada
Toshikatsu Hanada relative to Hideo Yasukawa Japan Hideo Yasukawa's profile →
Citations per field
00.5×1.5×
Hideo Yasukawa · 1×
Citations per year

Countries citing papers authored by Toshikatsu Hanada

Since Specialization
Citations

This map shows the geographic impact of Toshikatsu Hanada's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Toshikatsu Hanada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshikatsu Hanada more than expected).

Fields of papers citing papers by Toshikatsu Hanada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Toshikatsu Hanada. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Toshikatsu Hanada. The network helps show where Toshikatsu Hanada may publish in the future.

Co-authorship network of co-authors of Toshikatsu Hanada

This figure shows the co-authorship network connecting the top 25 collaborators of Toshikatsu Hanada. A scholar is included among the top collaborators of Toshikatsu Hanada based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Toshikatsu Hanada. Toshikatsu Hanada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 12
3 3
4 3
5 32
6 4
7 12
8 4
9 4
10 53
11 154
12 87
13 458
14
IL-6 induces an anti-inflammatory response in the absence of SOCS3 in macrophagesbreakdown →
647
15 37
16 30
17 331
18 138
19 232
20
Clinical significance of multi-drug resistance associated protein and P-glycoprotein in patients with bladder cancer.
60

About Toshikatsu Hanada

Toshikatsu Hanada is a scholar working on Immunology, Oncology and Pharmacology, having authored 64 papers that have together received 7.2k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (27 papers), interferon and immune responses (11 papers) and RNA modifications and cancer (7 papers). The work is most often cited by research in Immunology (3.6k citations), Oncology (3.0k citations) and Cancer Research (1.2k citations). Toshikatsu Hanada has collaborated with scholars based in Japan, Austria and United States. Frequent co-authors include Akihiko Yoshimura, Masato Kubo, Daisuke Aki, Hideo Yasukawa, Hiroyuki Mori, Masanobu Ohishi, Akihiko Yoshimura, Takafumi Yoshida, Reiko Hanada and Hitomi Nishinakamura. Their work appears in journals such as Cell, Journal of Biological Chemistry and Journal of Clinical Investigation.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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